Описание: This practical guide to medical sciences includes the Oxford Handbook of Clinical and Laboratory Investigation and the Oxford Handbook of Medical Sciences. An essential resource for medical students and trainees, this pack offers a clear account of the scientific principles and investigations underpinning clinical medicine.
Автор: Harald Baayen Название: Analyzing Linguistic Data ISBN: 0521709180 ISBN-13(EAN): 9780521709187 Издательство: Cambridge Academ Рейтинг: Цена: 6970.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A straightforward introduction to the statistical analysis of language, designed for those with a non-mathematical background. Using the leading statistics programme `R`, the reader is guided step-by-step through a range of data sets, aided by over 40 exercises with model answers. Suitable for all those working with quantitative language data.
Автор: van den Boogaart, K. Gerald, Tolosana-Delgado, Raimon Название: Analyzing Compositional Data with R ISBN: 3642368085 ISBN-13(EAN): 9783642368080 Издательство: Springer Рейтинг: Цена: 7406.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers statistical analysis of compositional data sets from basic principles to applications in descriptive exploratory analysis, robust linear models and advanced multivariate statistical methods. Offers many illustrated examples and code chunks.
Автор: Shili Lin; Hongyu Zhao Название: Handbook on Analyzing Human Genetic Data ISBN: 3642424813 ISBN-13(EAN): 9783642424816 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This handbook offers professionals and researchers guidance on the selection of appropriate computational methods and software packages for specific genetic problems. The coverage features both methodological expositions and practical guidelines.
Автор: Douglas E. Critchlow Название: Metric Methods for Analyzing Partially Ranked Data ISBN: 0387962883 ISBN-13(EAN): 9780387962887 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A full ranking of n items is simply an ordering of all these items, of the form: first choice, second choice, *. The problem thus becomes one of ex- tending metrics on the permutation group to metrics on a coset space of the permutation group.
Автор: Martin Schader Название: Analyzing and Modeling Data and Knowledge ISBN: 3540547088 ISBN-13(EAN): 9783540547082 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume encapsulates the papers presented at a conference on the classification of data held in 1991. The material is organized in three parts - data analysis and classification, data modelling and knowledge processing and applications and special subjects.
Автор: Jeffrey S. Simonoff Название: Analyzing Categorical Data ISBN: 144191837X ISBN-13(EAN): 9781441918376 Издательство: Springer Рейтинг: Цена: 12850.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Categorical data arise often in many fields, including biometrics, economics, management, manufacturing, marketing, psychology, and sociology. This book provides an introduction to the analysis of such data. The coverage is broad, using the loglinear Poisson regression model and logistic binomial regression models as the primary engines for methodology. Topics covered include count regression models, such as Poisson, negative binomial, zero-inflated, and zero-truncated models; loglinear models for two-dimensional and multidimensional contingency tables, including for square tables and tables with ordered categories; and regression models for two-category (binary) and multiple-category target variables, such as logistic and proportional odds models.
All methods are illustrated with analyses of real data examples, many from recent subject area journal articles. These analyses are highlighted in the text, and are more detailed than is typical, providing discussion of the context and background of the problem, model checking, and scientific implications. More than 200 exercises are provided, many also based on recent subject area literature. Data sets and computer code are available at a web site devoted to the text. Adopters of this book may request a solutions manual from: textbook@springer-ny.com.
From the reviews:
"Jeff Simonoff's book is at the top of the heap of categorical data analysis textbooks...The examples are superb. Student reactions in a class I taught from this text were uniformly positive, particularly because of the examples and exercises. Additional materials related to the book, particularly code for S-Plus, SAS, and R, useful for analysis of examples, can be found at the author's Web site at New York University. I liked this book for this reason, and recommend it to you for pedagogical purposes." (Stanley Wasserman, The American Statistician, August 2006, Vol. 60, No. 3)
"The book has various noteworthy features. The examples used are from a variety of topics, including medicine, economics, sports, mining, weather, as well as social aspects like needle-exchange programs. The examples motivate the theory and also illustrate nuances of data analytical procedures. The book also incorporates several newer methods for analyzing categorical data, including zero-inflated Poisson models, robust analysis of binomial and poisson models, sandwich estimators, multinomial smoothing, ordinal agreement tables...this is definitely a good reference book for any researcher working with categorical data." Technometrics, May 2004
"This guide provides a practical approach to the appropriate analysis of categorical data and would be a suitable purchase for individuals with varying levels of statistical understanding." Paediatric and Perinatal Epidemiology, 2004, 18
"This book gives a fresh approach to the topic of categorical data analysis. The presentation of the statistical methods exploits the connection to regression modeling with a focus on practical features rather than formal theory...There is much to learn from this book. Aside from the ordinary materials such as association diagrams, Mantel-Haenszel estimators, or overdispersion, the reader will also find some less-often presented but interesting and stimulating topics... T]his is an excellent book, giving an up-to-date introduction to the wide field of analyzing categorical data." Biometrics, September 2004
..".It is of great help to data
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